About Labelme
Labelme is an AI-powered image annotation tool that runs on your machine — models download once, then work offline. Built for researchers, engineers, and teams who need fast, private, and accurate dataset creation.
Founder
Kentaro Wada
Founder & Developer
Kentaro is a robotics and computer vision engineer. He started the Labelme open-source project in 2016 while at The University of Tokyo, and later studied at Imperial College London. He has been building annotation tools for over 9 years.
Open-source roots
Labelme started as an open-source project in 2016 and has grown to 16,000+ GitHub stars with contributors from around the world. The open-source project remains actively maintained.
16,000+
GitHub stars
2016
First release
9+ years
Active development
Mission
We believe annotation tools should be fast, private, and simple. Labelme never uploads your images or annotations, and its built-in models run offline on your computer. Your agent's model may run in the cloud. Connect a local one to keep everything offline. Whether you're a solo researcher or a hospital lab, your images stay yours.
Offline-first
No internet required once the AI models are downloaded.
Privacy-respecting
Labelme never uploads your images or annotations.
Open-source heritage
Built on 9+ years of community contributions.